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Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […]

The conduct of monetary policy within an inflation-targeting framework requires the establishment of an inflation-target horizon, which is the average time it takes inflation to return to the target. Policy-makers have an interest in communicating this horizon, since it is likely to help anchor inflation expectations. This article focuses on the determination of the appropriate policy horizon by reporting on two recent Bank of Canada studies. The evidence suggests that the current target horizon of six to eight quarters remains appropriate. It is important to note that the duration of the optimal inflation-target horizon varies widely, depending on the combination of shocks to the economy. In rare cases when the financial accelerator is triggered by a persistent shock, such as an asset-price bubble, it may be appropriate to take a longer view of the inflation-target horizon.

How do firms adjust prices in the marketplace? Do they tend to adjust prices infrequently in response to changes in market conditions? If so, why? These remain key questions in macroeconomics, particularly for central banks that work to keep inflation low and stable.

High-quality, innovative research underpins everything we do.

Our paper employs smartphone data to construct an improved cash access metric by accounting for both spatial agglomeration and households’ travel patterns. We find that incorporating trip-chaining into the travel metric could show that travel costs are from 15 to 25% less than not incorporating trip-chaining and that the biggest decrease is driven by rural residents.

This special issue, “Real-Financial Linkages,” examines the Bank’s research using theoretical and empirical models to improve its understanding of the linkages between financial and macroeconomic developments in the wake of the recent global financial crisis.

This article describes the Bank of Canada’s version of the Global Economy Model structured to incorporate an active banking system that features an interbank market and cross-border lending. After describing the new model, the authors use it to examine the responses of selected U.S. and Canadian macroeconomic variables to a “credit crunch” in the United States and also to study the impact of changes in the regulatory limits to bank leverage in Canada. They also discuss the relative merits of a monetary policy framework based on inflation targeting and one based on price-level targeting in the presence of shocks to the U.S. and Canadian banking sectors.

This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters.

Cover page

Bus Transportation Tokens and Tickets

The pieces illustrated on the cover range in size from 12 mm to 38 mm in diameter or width. They form part of the National Currency Collection, Bank of Canada.

Photography by Gord Carter, Ottawa

ToTEM – the Bank of Canada’s principal projection and policy-analysis model for the Canadian economy – is extended to include inventories. In the model, firms accumulate inventories of finished goods for their role in facilitating the demand for goods.